Finite-time synchronization for delayed BAM neural networks by the approach of the same structural functions

Dazhao Chen and Zhengqiu Zhang

Chaos, Solitons & Fractals, 2022, vol. 164, issue C

Abstract: In this paper, the finite-time synchronization (FTS) for drive–response BAM neural networks (NNS) are considered. Without using finite-time stability theorems, integral inequality approach and the maximum-valued approach, by using a novel study method: the approach of the same structural functions and designing two classes of novel controllers, two novel sufficient conditions on FTS for the drive–response BAM NNS are proposed. The method and the controllers designed in our paper are very novel.

Keywords: The drive–response BAM NNS; FTS; The approach of the same structural functions; The same structural functions (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:164:y:2022:i:c:s0960077922008347

DOI: 10.1016/j.chaos.2022.112655

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